MFreeformEqualizer Morphing Shapes?

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Yeah, by lock trick, I just mean the parameter lock.
To be honest, I also have no idea if it will lock to peak, but that doesn't matter too much. I lock everything right after loading the EQ, so all the bands will be in some default state (while I presume would be peak).
You got it right with the steps, I'm not sure which part you are not sure about. So I will just list it step by step here.....
1. Open a MP and add frequency, gain and q for each of the 32 bands. 96, parameters!
2. Set it to banks mode.
3. Do some analysis in the other EQ and copy/paste the curve into FreeformAnalogEQ.
4. In the MP in bank slot 1 click on the save icon to load all the values into that slot.
5. Repeat step 3 for the next curve and click save in slot 2 of the MP.
6. Now when you move the MP it should morph from shape 1 to shape 2.

I have not tested the MP bank morph yet, so not 100% if it will work.

Let me know how it goes......
Jason @ Melda Production

Post

Ahhh, the missing part was that you have to MANAULLY add the parameters in your part 1. You are unable to LEARN them as you do not directly set touch the EQ parameters when drawing the curve in FreeformEQ, you merely draw the curve and then the plugin converts that as a separate process into the analog EQ. So by drawing or updating the curve, you're not actually changing any EQ settings and the 'learn' doesn't work.

Anyway, yes, I managed to do it and can morph between different curves correctly (yay). Here's an MXXX preset of a 16 band EQ morpher controlled by a single MP:

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

Now the main two problems with this are:
- the inability to force the match to use consistent EQ types each time is a problem (as previously discussed). Locking the parameter isn't going to make the analysis rethink which EQ's to use, it's just going to use the wrong type if it's locked and therefore sound incorrect.
- because it's not morphing 'aware' there is no consistency between the use of EQ bands, so the morphing is not great, meaning the middle point isn't a true middle point. You can see this in the above preset, notice you can clearly see one peak filter moving from heavy boost at around 150hz to a heavy boost at around 15,000hz. Basically the bands are just moving around at random while they morph, because the algorithm isn't attempting to use the bands in a consistent way.

Anyway, it still creates an interesting effect, but not quite the true EQ morph I was hoping for. Still, very impressive considering we managed to find a way to do this in existing functionality. Thanks for helping me figure this out. I maaaay try using this in the future, we'll see.

Post

I have another idea! Haha....
So, I am hoping that when loaded the 32 bands are in an evenly spread order across the frequency range. I am going to try locking the frequencies, so that they do not move around when morphing.
This technique will reduce the accuracy, but I am going to try it, as I think it will work like a sort of 32 band graphic EQ, with the morph modulating the gains and Qs.
Also I see why you made a 16 band version, it gets a bit laborious, doesn't it! Haha
Jason @ Melda Production

Post

Ha ha yeah, it certainly does! Took me a little while to set it up, but at least you can add multiple parameters to the MP with Shift-clicking.

I'm still not convinced that locking things will work. I mean, it WILL lock those parameters, but the analysis is still wanting those bands to be in a different location. In order for this to work, I believe the analysis part of FreeformAnalogEQ that converts the curve into the appropriate band EQs would need to take locked EQ frequencies into account.

Which leads me back to the initial point... all of this would be resolved if we could just morph shapes in the 'real' FreeformEQ. As it turns out, there's an old Soundhack plugin that can do this with two shapes called MorphFilter: http://www.soundhack.com/spectral-shapers/

Post

Here is a 32 band graphic morph EQ (MXXX1)

Code: Select all

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3vnJZi8zHvlMcF8UPCTYaHkGiky64lnRBopMuOCVdcJF0zWdTf5D3iK9l-Eb3ZddsWbqPN3JsysGz1Bbd2dO0MlRkkpk5+qM1uLGHPSRdIBI9w0bDI0h00gXXki5IdNIFp6QLogGHUS9-bOZLTnxZeR+Wh+6IWLr22qLGYGAqqa3eMy8fGxJEs-17kVkWndtagkPSdQHyuycOwtsdr+hWB3b11iBDgk100gXXki5IdNIFp6QLogHHtqZIQVQcWpD8abgudoU21DW+qOsNy1jnNNV07iv11QPxtcd2ed2sOh-DW+M0LkH+jeDgJ27ghmh4BIlOuuBa0gWJTrrIKeki0YCDOKLX6G3GtCCtajPz2mwWLJ3n0bLu5Y16TruvDmrDt9WE+NpsRiYqU+kMb43TuASZMEtAouERSXTSRa4lXSTRSRc5JV0kGnCM3vCEvO8k8SWaVOZqvSWWrloyZ9YehgOpPS5zrOksfFqQc3ij7Z4vrFvjNC5BJk2w0fCIJDrpIteSLpLopIucki4SDThKOVVfVA2LFrT2dttcWrI31Lfbib4pQT2T0+oPLdR5MObEl8ueUXmYtIfDW+M0LkEmTbDR8IgkOuki15IucoOk69fFe3H-7ZvgZbq5vjf+MHXXXJnefrmMw0uN813PtBx3V-HMecUeOr-+-M6vXde0vc+X4wav7s3ph-32b-ENtRM06y5Sja63fyHxrz--OFBYc-rT8LuBw8z+1+9I-XyL43nA798qHEPDJddcrk27vwu-cjXLCONCESH54W3qMRQK3tQcqQGhnxhqwJkliJUliLAUUnBWBG+gxxQhengteAyF9iyFa5DQTww1vnwjKI6p4TNLoYAwixBSQjDMEOVKQky19kSR28mJnomisRJFI0SFgqksZwhRKQX5XH0ihkJ7lsI1cOgnhhrszBKLlSUWYSmUhmQpBEsYSa6ClU7iKbRnKZy4-P+b5WdieKzE8AgxPDwAMEOMCA6AZEyF9sTw28lHnFkSsbIkIiyJ8GzEkCRISslYLKNMHGkSsepHnpmRsTIjI8yErilmVbA4GA1WhaEqpkJ7YuTt9KPOLKlYWVIRllT4CDgDhIhUisZUZ0+SilU9+9fWHC0jitczoqhpRGGvwjnjUmFBFcRV6mAb0e00hMP2OmZ-fWGwIw5bYaKEpMECYXGVOnCF45VSyFfjeI01jjrr8As-slRIJQmRHDDEVepAD9xQSiF3jeO11zjqr3HE+XImJQ1WTJIqrlIHrki8Ugp5ahyvqcZRVx1+s0E2WJqLcyo4IBJXqQM9NF56QmYax+umcdROh5+jzwoUrDMoEXAWW6kDPfE6ahyy1DheT42jpjr81HZ2P7JABYvXybhKHejh8dIT8tI4XjONo246-IxwlgKAFERKBDKuUgd64vXTOGSocbyOGkctdfiJ1LhP6fHJVEeee42h4ZCTxvFaaRz10uHnH7OAOSIYZOCE4ip1oCdePw0hPw3x+mmI+mmIOF2KBVFKEsl5XKUOFxhRvPSELDTEa6EhaqHDz3ZlEQgigqUSGZYyrloHfuL10BC+Nh3zxemLq9Nw0wuvcL5EDfEyFHLOEK9zhqhzDj+7khVCIYkxAURpXKUO9JDbnWVAyEZDvDYaojY6-NhEllCMGaECkOBxlTpwFa+NhpCNhnhtNERtdPgm-WAx8mA+Ci5-xFbqQA+7oZRCnhri9dQQ9dTh+8ODlaYpYwwYIIir1IGreD01hDw1xOupIeqpw3cjZ4EKgnGwIvRh7ec4Sh3oiddTQ8hTQ7yeGqKeOnzvaxYxLINzeoriuYIPJ1MN8ZpqCJlqiNdUQ9RUh2+1zPLgoplAmBFE4yp1oCdeU01CpprEa6pJ1FSHb+zLIiCUI4qRQLFcLiMnV03iddUk5KpJvK6aRF11+D6yLMdUMglMklhOOsjJVJN4TTUJmWoSr6neNx2iJ2yqGeKEEcn267PHVOpAz4WjPtzjFNxMFCwGvr+RCf78bo8H3ujpz+-DQuip8KLkx-2Ov-LruNM-fv966nQ6q8Ny46s---g-gnU8LA==
Jason @ Melda Production

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I think you are right about the analysis needing to know they are going to be locked and can not move certain parameters.

What about Morph? this would do it spectrally and therefore more accurately, right? Or is there some reason this will not work?
Jason @ Melda Production

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I just realised morph was a stupid idea, forgot that.
Jason @ Melda Production

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Yeah, unfortunately morph is doing something very different (essentially a spectral level follower).

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jmg8 wrote: Wed Aug 07, 2019 6:05 pm Yeah, by lock trick, I just mean the parameter lock.
To be honest, I also have no idea if it will lock to peak, but that doesn't matter too much. I lock everything right after loading the EQ, so all the bands will be in some default state (while I presume would be peak).
You got it right with the steps, I'm not sure which part you are not sure about. So I will just list it step by step here.....
1. Open a MP and add frequency, gain and q for each of the 32 bands. 96, parameters!
2. Set it to banks mode.
3. Do some analysis in the other EQ and copy/paste the curve into FreeformAnalogEQ.
4. In the MP in bank slot 1 click on the save icon to load all the values into that slot.
5. Repeat step 3 for the next curve and click save in slot 2 of the MP.
6. Now when you move the MP it should morph from shape 1 to shape 2.

I have not tested the MP bank morph yet, so not 100% if it will work.

Let me know how it goes......
Please may I kindly ask if perhaps either yourself, or someone else who understands the concept of the original goal the OP was trying to achieve in this thread, could re-write this process for a person like myself, who isn’t so great with tech/doesn’t understand all of the technical abbreviations et al?

I’ve put in a fair few frustrating hours into trying to recreate this by following the instructions given on here already, but I believe I’m just probably one or two mistakes/steps away from being able to complete the modulation process.

I found a 16 band Preset in the ‘Online’ preset categories on MXXX. I also have other versions of the MXXX app, but I assume the former is the one to use?

I have uploaded that preset in MXXX, & added on the EQ plug-in/plug-ins but I’m struggling to understand how to be able to manipulate between EQ shapes in real time. Effectively it’s my dream (& from my understanding, the OP’s dream, as well as many others’ on this thread) to be able to have something similar to the ABCD Morph, but one that doesn’t cause clicking/clipping sounds when morphing between the two.

I understand there is perhaps not much knowledge I can offer you in return, as you’re all way better than me at all of this stuff. However, I’d happily provide a little financial gift if someone would be so kind to please write me a numbered, detailed step by step plan for their time?

I have also seen the presets you have provided in code, but I have no idea where to place & initialise that code, as I’m clueless like I’ve said already.

If you have a preset file I can copy & paste straight into MXXX, then I’d be very grateful for that too, but I would also like to be able to understand how I can go about editing each shape, to create something new, rather than just stealing your idea & not doing any work towards it to make it unique.

Perhaps I can reverse engineer it this way, but It’s not the most simple mod matrix plug-in I’ve ever used.

My goal is to be able to really manipulate many different EQs in real time for my refreshed little hobby of sound design/music production, after a 15 year hiatus. Thank you so much in advance, & my apologies for the long & drawn out message! I just wanted to make it as clear as possible. Thank you.

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Hey, if you just want to morph EQ, it is quite easy. Use these settings in MXXX1. The first MP named "Morph" will morph between different banks. You can move the EQ yourself, however you like, then save the "snapshot" in the bank using the save icon (found at the top of the bank in the multiparameter window)
To load these settings and others, simply select all the text from the code and then paste it in the plugin (bottom right in MXXX1)

Code: Select all

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